当我直接运行demo.m
时,demo.m
中的这一行在MatLab中运行得很好:
save('C:\PATH_TO_MY_FOLDER\boxes.mat', 'boxes');
所以当我检查这个文件夹时,我确实发现一个名为boxes.mat
的文件已经创建,它包含一个2D数组。在
但是,当我从python运行demo.m
(在下面的代码中),Matlab似乎打开了,但是{
我可能一开始就没有成功运行demo.m
?
我加了句台词
fprintf('hello');
在demo.m
中保存boxes.mat
文件的行之前,但也没有得到该输出。
如何确定demo.m
是从Python执行的呢?我确实看到一个Matlab按钮出现在任务栏上。在
demo.m
的代码稍作编辑,取自here:
% This demo shows how to use the software described in our IJCV paper:
% Selective Search for Object Recognition,
% J.R.R. Uijlings, K.E.A. van de Sande, T. Gevers, A.W.M. Smeulders, IJCV 2013
%%
addpath('Dependencies');
fprintf('Demo of how to run the code for:\n');
fprintf(' J. Uijlings, K. van de Sande, T. Gevers, A. Smeulders\n');
fprintf(' Segmentation as Selective Search for Object Recognition\n');
fprintf(' IJCV 2013\n\n');
% Compile anisotropic gaussian filter
if(~exist('anigauss'))
fprintf('Compiling the anisotropic gauss filtering of:\n');
fprintf(' J. Geusebroek, A. Smeulders, and J. van de Weijer\n');
fprintf(' Fast anisotropic gauss filtering\n');
fprintf(' IEEE Transactions on Image Processing, 2003\n');
fprintf('Source code/Project page:\n');
fprintf(' http://staff.science.uva.nl/~mark/downloads.html#anigauss\n\n');
mex Dependencies/anigaussm/anigauss_mex.c Dependencies/anigaussm/anigauss.c -output anigauss
end
if(~exist('mexCountWordsIndex'))
mex Dependencies/mexCountWordsIndex.cpp
end
% Compile the code of Felzenszwalb and Huttenlocher, IJCV 2004.
if(~exist('mexFelzenSegmentIndex'))
fprintf('Compiling the segmentation algorithm of:\n');
fprintf(' P. Felzenszwalb and D. Huttenlocher\n');
fprintf(' Efficient Graph-Based Image Segmentation\n');
fprintf(' International Journal of Computer Vision, 2004\n');
fprintf('Source code/Project page:\n');
fprintf(' http://www.cs.brown.edu/~pff/segment/\n');
fprintf('Note: A small Matlab wrapper was made.\n');
% fprintf('
mex Dependencies/FelzenSegment/mexFelzenSegmentIndex.cpp -output mexFelzenSegmentIndex;
end
%%
% Parameters. Note that this controls the number of hierarchical
% segmentations which are combined.
colorTypes = {'Hsv', 'Lab', 'RGI', 'H', 'Intensity'};
colorType = colorTypes{1}; % Single color space for demo
% Here you specify which similarity functions to use in merging
simFunctionHandles = {@SSSimColourTextureSizeFillOrig, @SSSimTextureSizeFill, @SSSimBoxFillOrig, @SSSimSize};
simFunctionHandles = simFunctionHandles(1:2); % Two different merging strategies
% Thresholds for the Felzenszwalb and Huttenlocher segmentation algorithm.
% Note that by default, we set minSize = k, and sigma = 0.8.
k = 200; % controls size of segments of initial segmentation.
minSize = k;
sigma = 0.8;
% As an example, use a single image
images = {'000016.jpg'};
%images = {'C:\Users\Public\Pictures\Sample Pictures\Desert.jpg'};
im = imread(images{1});
% Perform Selective Search
[boxes blobIndIm blobBoxes hierarchy] = Image2HierarchicalGrouping(im, sigma, k, minSize, colorType, simFunctionHandles);
boxes = BoxRemoveDuplicates(boxes);
save('C:\work_asaaki\code\SelectiveSearchCodeIJCV\boxes.mat', 'boxes');
您要求Matlab运行命令“C:\PATH_to_MY_FOLDER\demo.m”,这不是一个有效的Matlab命令,如果您将它输入到您的Matlab控制台,您将收到相同的错误消息。在
你可能想要的是:
这就是您在matlab中要做的,更改目录,然后运行它。您也可以使用
run
创建一行,但是由于脚本中的相对路径,这可能行不通。在相关问题 更多 >
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